Internship in IT & Artificial Intelligence | Praktikum IT & Künstliche Intelligenz

Deutsche Telekom AG

Bonn, Nordrhein-Westfalen, Deutschland

Published May 11, 2026

Full-time

No information

Job Summary

This internship at Deutsche Telekom offers students in computer science, data science, or related fields the opportunity to apply theoretical knowledge to real-world telecommunications projects. Starting October 1st, 2026, you will work within an agile team, contributing to the development of telemetry applications and machine learning solutions. Your day-to-day tasks will involve data analysis, process optimization, and the use of modern development tools like Python, Docker, and Linux. You will also be responsible for creating technical documentation and collaborating with internal stakeholders. This role is designed for proactive individuals eager to gain hands-on experience in a major telecommunications environment. You will benefit from dedicated mentoring, a supportive team culture, and the chance to work on innovative AI projects. Whether you are seeking a mandatory internship or a voluntary placement, this position provides a steep learning curve and a solid foundation for a future career in the tech industry.

Required Skills

Education

Current student in Computer Science, Business Informatics, Data Science, Telecommunications, Software Engineering, or a comparable field; or currently in a Gap Year.

Experience

Enrollment in a degree program such as Computer Science, Data Science, or Software Engineering
Foundational programming experience, specifically in Python
Initial practical experience with Linux environments and Jupyter Notebook
Familiarity with version control systems like Git
Academic or practical interest in Machine Learning and Artificial Intelligence
Ability to work effectively within agile team structures

Languages

Not specified

Additional

Must be a student or in a Gap Year. Position starts October 1st, 2026. Available as full-time or part-time. Candidates with disabilities will be given priority in case of equal suitability.